Ximei Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIKM | Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation. | Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao |
| 2025 | ICLR | Long-Sequence Recommendation Models Need Decoupled Embeddings. | Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long |
| 2025 | ICML | From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. | Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen |
| 2024 | AAAI | STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. | Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang |
| 2024 | AAAI | Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. | Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang |
| 2024 | ICML | On the Embedding Collapse when Scaling up Recommendation Models. | Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long |
| 2024 | KDD | Understanding the Ranking Loss for Recommendation with Sparse User Feedback. | Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang |
| 2024 | KDD | Ads Recommendation in a Collapsed and Entangled World. | Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang |
| 2023 | AAAI | AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. | Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo |
| 2023 | ICML | CLIPood: Generalizing CLIP to Out-of-Distributions. | Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long |
| 2022 | ICLR | X-model: Improving Data Efficiency in Deep Learning with A Minimax Model. | Ximei Wang, Xinyang Chen, Jianmin Wang, Mingsheng Long |
| 2021 | CVPR | Regressive Domain Adaptation for Unsupervised Keypoint Detection. | Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long |
| 2021 | ICML | Self-Tuning for Data-Efficient Deep Learning. | Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang |
| 2020 | ECCV | Minimum Class Confusion for Versatile Domain Adaptation. | Ying Jin, Ximei Wang, Mingsheng Long, Jianmin Wang |
| 2019 | AAAI | Transferable Attention for Domain Adaptation. | Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang |
| 2019 | ICML | Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation. | Kaichao You, Ximei Wang, Mingsheng Long, Michael I. Jordan |